We're building the infrastructure layer that bridges today's classical world with tomorrow's quantum advantage. Write once, run anywhere — from simulators to real quantum hardware.
Quantum computing will transform industries — from drug discovery to financial modeling to cryptography. But today, the barrier to entry is absurdly high. We're fixing that.
Write quantum circuits in a clean, Pythonic API. Seamlessly interoperate with Qiskit, Cirq, and PennyLane — without lock-in to any single vendor.
Run your circuits on local simulators during development, then deploy to IBM, IonQ, or Rigetti hardware with a single parameter change. True write-once, run-anywhere.
From quantum-safe cryptography research to sandboxed code execution, security is woven into every layer of our platform — not bolted on as an afterthought.
Comprehensive documentation, 22 interactive Jupyter notebooks, type-safe APIs, and intelligent error messages. We obsess over DX so you can focus on science.
TheQuantAI operates across two synergistic domains, each addressing massive market opportunities in the quantum era.
Quantum Computing as a Service
A unified cloud platform for quantum development — from writing your first quantum circuit to deploying production workloads across multiple quantum backends. QuantSDK (open-source) and QuantStudio (web IDE) are now live.
Quantum-Safe Security for Critical Infrastructure
Post-quantum cryptography solutions and quantum optimization for defense, aerospace, and government agencies. Preparing critical infrastructure for the quantum threat landscape.
Our technology stack is designed from the ground up for the unique challenges of quantum computing — from hardware abstraction to intelligent workload distribution.
import quantsdk as qs
# Create a Bell state — quantum entanglement
circuit = qs.Circuit(2, name="bell_state")
circuit.h(0) # Hadamard: superposition
circuit.cx(0, 1) # CNOT: entangle qubits
circuit.measure_all()
# Run on local simulator (or swap to IBM, IonQ...)
result = qs.run(circuit, shots=1000)
print(result.counts)
# {'00': 498, '11': 502}
# Export to any framework
qiskit_circuit = circuit.to_qiskit()
qasm_string = circuit.to_openqasm()
High-performance local simulation using optimized tensor contractions — no full unitary construction needed.
Bidirectional conversion between QuantSDK, Qiskit, and OpenQASM 2.0 — use the best tool for each job.
Complete gate library from basic Pauli gates to parameterized rotations and multi-qubit entangling gates.
Sandboxed parameter evaluation, token masking, automated security scanning. Zero Bandit findings.
PEP 561 py.typed marker, strict mypy compliance, rich type annotations. Your IDE autocomplete will love it.
We're on an ambitious journey to build the definitive quantum computing platform. Here's what's coming.
Open-source SDK with 50+ gates, framework interop (Qiskit, Cirq, PennyLane, OpenQASM), local + IBM backends, full MkDocs documentation, and 22 example notebooks. 658 tests passing.
Full web IDE with Monaco editor, SVG circuit visualizer, result histograms, 16 circuit templates, save/load, auth. 8 backends: CPU Simulator, GPU (cuQuantum), IBM Brisbane, IonQ Harmony, IonQ Aria, Rigetti Ankaa-2, Quantinuum H1-1, Noisy Simulator.
Cloud platform live at api.thequantcloud.com — REST API with 19 endpoints, intelligent QuantRouter backend selection, 5 simulator backends, async job lifecycle, API key auth, and free $50 beta credits.
Real QPU backends (IBM, IonQ via AWS Braket), billing integration (Stripe + Razorpay), enterprise tier with SLA guarantees, QuantRouter ML-powered optimization, and TheQuantDefense private beta.
Updates on QuantSDK releases, platform milestones, and practical quantum engineering insights.
A full-featured browser-based IDE with Monaco editor, 16 circuit templates, real-time visualization, and 8 backend adapters.
Read post →A practical open-source SDK to write quantum code once and run across simulators and hardware backends.
Read post →How we are building a cloud-native quantum platform with routing, observability, and developer-first tooling.
Read post →We're looking for quantum engineers, full-stack developers, and ML researchers to join our founding team.
Reach out →
Get started in under 60 seconds with QuantSDK.
pip install thequantsdk